IoT Innovation Insights from Patents
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Patents can provide insights regarding the state of the art of IoT (Internet of Things) innovation. To evaluate the current status of IoT innovation, patents regarding the key IoT applications (Smart Home, Connected Car and Smart Healthcare) are researched. To measure the level of IoT innovation, a system approach to the IoT patents is adopted. The disclosures of the IoT patent can be considered as a system that is consist of several subsystems: environmental context, IoT sensor, information, transfer mean and processing tool.
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Internet of Things - Recent developments and Trends
The document discusses Internet of Things (IoT), providing an introduction and overview. It defines IoT as the network of physical devices embedded with sensors and connectivity that allows them to exchange data via the internet. The document outlines some key enabling technologies for IoT like RFID, wireless sensor networks, middleware, and presentation tools. It also discusses some common challenges for IoT like security and privacy issues. Examples of major IoT applications are given in areas like smart cities, healthcare, home automation, and industrial control. In conclusion, the document states that IoT has the potential to enhance services across many sectors and will likely become widespread in the coming decade as the necessary technologies continue to develop.
Internet of Things (IoT) and Connected Cars - Patent Landscape Highlighting T...
Smartphone patent litigations across the world gained traction during early years of influx of path-breaking devices, including the likes of Apple iPhone and Samsung series (S, Note, Galaxy etc.). Most of such lawsuits seem to have settled by now excluding a few that are still ongoing but the battlefront of patents in mobile technology has now shifted to a new sector, i.e. in-car technology facilitating connected cars via digital dashboards that represents one of the hottest categories among Internet of Things (IoT).
Going by technology trends, future of tech innovations strongly depends upon the Internet of Things, commonly referred to as IoT, which facilitates communication between everyday objects via Internet. Such communication is amplified and brought to consumer utility by the powerful smartphones, tablets and wearable devices.
Patent Strategy – IoT and Connected Cars
Companies working in technology sectors such as IoT and Connected Cars, which are capable of disrupting the industry, need to have a well-formulated patent strategy in place to tackle the associated challenges. First and foremost, it is crucial to analyse appropriate Freedom To-Operate (FTO) by reviewing scope of existing patents with a view to obtain product clearance and to avoid patent infringement. Secondly, validity of in-house patents has to be ascertained along with patentability analysis of in-house innovations. Lastly, a strong and enforceable patent strategy can be formulated if global patent landscape studies are conducted as innovations in the field of IoT and Connected Cars are spanned across multiple jurisdictions.
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The webinar will cover Internet of Things, outline the various types of IoT devices and environments, cover some examples of IoT based cyberattacks, and cover the various current standards and frameworks available to help guide security in this space.
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• Definition of IoT
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• Risks around IoT
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• Security options for IoT
Presenter:
Our presenter for this webinar is Anthony English, who has worked in IT and Information Security for more than 25 years and in the healthcare, law enforcement, IT consulting, lottery and gaming and education sectors. From managing a global information security program to implementing structured 27001 and 27032 programs, he has covered the broad range of applied security.
Link to the recorded webinar:
Internet of things
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Going by technology trends, future of tech innovations strongly depends upon the Internet of Things, commonly referred to as IoT, which facilitates communication between everyday objects via Internet. Such communication is amplified and brought to consumer utility by the powerful smartphones, tablets and wearable devices.
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• Definition of IoT
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Our presenter for this webinar is Anthony English, who has worked in IT and Information Security for more than 25 years and in the healthcare, law enforcement, IT consulting, lottery and gaming and education sectors. From managing a global information security program to implementing structured 27001 and 27032 programs, he has covered the broad range of applied security.
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Internet of Things (IoT) is an ecosystem of connected physical objects that are accessible through the internet. The ‘thing’ in IoT could be a person with a heart monitor or an automobile with built-in-sensors, i.e. objects that have been assigned an IP address and have the ability to collect and transfer data over a network without manual assistance or intervention.
M2M_IoT_Presentation
This document discusses machine to machine communication (M2M) and the Internet of Things (IoT). It notes that M2M enables physical objects to communicate wirelessly, while IoT refers to any physical object that can connect to the internet. The number of connected devices is growing rapidly compared to the world's population. Key challenges for M2M and IoT include cost control, managing many devices, security as more data is transmitted over the internet, and interpreting large amounts of complex data. The document also discusses M2M SIM cards, embedded SIMs, and challenges regarding security and vulnerabilities as physical systems become connected to computer networks and the internet.
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The document discusses the history and evolution of smart home technology from the 1970s to present day. It provides examples of early smart home systems like the X10 protocol and highlights Bill Gates' advanced smart home system. The main body explains Internet of Things (IoT) and how it is being applied to smart homes through interconnected devices that enable automation and remote monitoring of home appliances, security systems, and more. Examples of IoT applications in home automation are described, including remote temperature control, lighting, and integrated surveillance systems that provide notifications.
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Don't forget to follow me on below social media handles:
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Internet Of Things ppt
The document discusses the Internet of Things (IoT). It defines IoT as physical devices embedded with electronics, software, and sensors that can collect and exchange data when connected to the internet. It provides examples of IoT applications in connected homes, energy management, agriculture, healthcare, and transportation. It also discusses challenges of IoT including security vulnerabilities, as demonstrated by the Mirai botnet using insecure IoT devices to launch distributed denial of service attacks large enough to disrupt major websites.
Iot and ethics
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IoT Enabling Technologies
This document discusses key enabling technologies for the Internet of Things (IoT). It describes wireless sensor networks that use distributed sensor nodes to monitor environmental conditions. It also discusses cloud computing which provides on-demand computing resources and services over the Internet. Additionally, it covers big data analytics which involves collecting, processing, and analyzing large, diverse datasets. Finally, it mentions communication protocols that allow devices to exchange data over networks and embedded systems which are specialized computer systems designed to perform specific tasks.
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Introduction of iot
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Introduction to Internet Of Things
This PPT will give you an overview on "Introduction To Internet Of Things" What is IoT?, Why IoT?, Various IoT Technologies and Protocol, Applications of IoT, Future Scope and Possibility, Career Opportunities.
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Don't forget to follow me on below social media handles:
Twitter: @SiddharthDayal1
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커넥티드카 시대 전장부품 특허장벽에 대비하라
시장 조사 기관은 2020년까지 전기자동차를 포함한 전 세계 모든 자동차의 70% 이상이 사물인터넷(IoT)개념 컨넥티드카가 될 것으로 전망한다. 관련 시장도 년 50조원 규모를 형성한다.
기존 자동차 관련 업체는 물론이고 전자기기 기업과 IT와 통신사업자도 새로운 컨넥티드카 관련 제품과 서비스를 개발해 진출한다. 컨넥티드카 시장확대에 따른 관련 자동차 전기•전자•정보통신 장치 수요 증가도 예상된다. 삼성과 LG 등 포화된 스마트폰 시장을 대체해 새로운 수익원을 찾고 있는 한국 기업의 자동차 전장 부품 사업 진출은 매우 바람직하다.
컨넥티드카 관련 전장 부품의 주요 분야는 자동차간 통신 시스템, 인포테인먼트, 텔레매틱스, 첨단 운전자보조시스템, 내비게이션 시스템, 자율주행 시스템 등이 있다. 한국 기업은 자동차간 통신 시스템, 인포테인먼트, 텔레매틱스 분야에서 기술적 경쟁우위다.
특정 기술분야 특허활동(특허를 개발하고 출원하고 등록하고 관리하는 전반적 활동)은 관련 기술개발 상태를 진단할수 있는 중요한 지표이다. 향후 대규모 컨넥티드카 시장형성이 예상되는 미국에서 개발 현황을 파악하려고 관련 자동차 전장 부품 특허를 분석했다.
컨넥티드카 관련 전장 부품의 주요 기술분야에 있어서는 자동차간 통신 시스템, 사고방지 및 예방 기술, 원격진단 및 통제 기술, 네비게이션 기술, 자율주행 기술 순으로 특허활동이 활발하다.
Post-Smartphone (Wearables & IoT Devices) Patent Wars: Indicators of Expansion
Post-Smartphone (Wearables & IoT Devices) Patent Wars: Indicators of ExpansionAlex G. Lee, Ph.D. Esq. CLP
Extensive M&A activity in the IoT sector indicates companies are racing to gain leadership position in the lucrative IoT market. There were 39 M&A deals for IoT companies in the first 4 months of 2015 totaling $14.8 billion, up from 62 deals totaling $14.3 billion in 2014. Patenting of IoT technologies is also rapidly expanding at over 40% average annual growth between 2004-2013. Major companies like Google, Jawbone, and Microsoft have acquired other companies primarily for their patents related to wearables and IoT devices. As in the smartphone market, this rush to consolidate patents could lead to another round of patent wars in the emerging IoT market.Quantitative and qualitative research
This document provides an overview of quantitative and qualitative research approaches. It discusses the key differences between the two approaches, including that quantitative research aims to measure predetermined variables and examine relationships numerically, while qualitative research seeks to understand human experiences through exploration. Some common data collection methods for quantitative research include questionnaires and structured observations, while qualitative research often relies on flexible methods like interviews and group discussions. Both approaches have benefits and limitations for understanding different aspects of human phenomena.
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This document discusses predicting antitrust enforcement against Google's Android licensing practices in the US and EU based on past cases. It argues the EU will likely find the free Android licensing anti-competitive and Google's bundling of services an abuse of dominance. The US FTC will weigh Android's benefits and may require measures to ensure fair competition. The document analyzes differences in US and EU antitrust law and enforcement through cases on Google search and Microsoft Windows. LTE Patents Essential for RAN Products 1Q 2011_Sample
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US 20160114698 illustrate a system for analyzing big data related to the remaining driving range estimation of an electric vehicle (EV). The system collects attribute data affecting the driving range of the EV. The attribute data includes standard data, historical data, and real-time data. The standard data is the data that does not vary as the vehicle is driven. For example, the standard data includes test data for a capacity degradation of the vehicle battery provided by the battery manufacturer, the nominal driving range of the vehicle etc. The historical data is the data related to the previous probabilistic behavior of a driver. For example, the historical data includes the previous average energy consumption of the vehicle, a battery misuse history etc. The real-time data is the data associated with current driving data and stochastic data. For example, the real-time data includes a traffic jam due to an accident, abrupt rainfall during driving, a detour due to a closed road etc.
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Apple v. Google v. Samsung IoT Smart Home Strategy Insights from Patents
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Internet of Things -Overview
The Internet of Things (IoT), also referred to as the Internet of Objects, will change everything—including ourselves. This may seem like a bold statement, but consider the impact the Internet already had on education, science, communication, business, government, and humanity. Clearly, the Internet is one of the most important and a powerful creation in all of human history. This paper discussesIOT architecture, IOT applications and limitations of IOT.
IoT Business Reality & Patent Development
The development of patents (drafting for new applications, creating value through prosecution and strategic patent portfolio development) regarding IoT innovation should consider the IoT business reality. Especially, the IoT patent development should support future development of IoT businesses and commercial implementations of IoT innovations. Additionally, the IoT patent development should support for both ecosystem players’ exploitation and customers’ use of the IoT innovation. The disclosures of the IoT patent can be considered as a system that is consist of several subsystems: environmental context, IoT sensor, information, transfer mean and processing tool.
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IoT (Internet of Things) expands the future Internet, and has drawn much attention. As more and more gadgets (i.e. Things) connected to the Internet, the huge amount of data exchanged has reached an unprecedented level.IoT today has a wide scope and researches say that IoT will definitely be a huge reason in the change of human lifestyle. But irrespective of the scope of IoT, we cannot be sure enough to implement it due to the security concerns. There is a genuine need to secure IoT, which has therefore resulted in a need to comprehensively understand the threats and attacks on IoT infrastructure. This paper discusses about the flaws in the security structure of IoT, it is a study about the various layers of IoT and how differentattacks are possible in those layers.
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The document provides an overview of Internet of Things (IoT). It defines IoT, describes its architecture which includes sensing, network, data processing and application layers. It discusses advantages like improved customer engagement and reduced waste, and disadvantages like security and privacy concerns. It also outlines several application areas of IoT like smart homes, healthcare, manufacturing and smart cities. Specific examples of IoT applications in agriculture, transportation and energy are given. Finally, it discusses some popular IoT tools and platforms.
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This document provides an introduction to Internet of Things (IoT), including potential application areas like smart cities and healthcare. It describes the characteristics of IoT systems like being dynamic, self-configuring, and having unique device identities. The "things" in IoT can be sensors, appliances, and vehicles that collect and exchange data. The IoT stack consists of layers including the physical sensor layer, network layer, and application layer. Enabling technologies that power IoT include sensors, cloud computing, embedded systems, and communication protocols. Challenges of IoT include security, privacy, connectivity and power requirements. IoT systems can operate at different levels from device connectivity to global integration. IoT is related to but broader than
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The document discusses the concept of the Internet of Things (IoT). It defines IoT as a network of uniquely identifiable connected devices that communicate with each other to form worldwide dynamic networks. It describes the basic characteristics of IoT, including smart data collection, interconnectivity, things-related services, heterogeneity, dynamic changes, and enormous scale. It also outlines several key application domains for IoT, such as smart cities, industrial services, and health and well-being.
Internet of things (iot)
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presentation on internet of things (IOT) for seminar presentation and school projects.
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What is the Internet of Things? How does it Work?
The Internet of Things (IoT) is a network of physical objects embedded with sensors, software, and other technologies to connect and exchange data with other devices and with the systems over the internet. These devices range in complexity from common household items to huge industrial instruments. Internet of Things (IoT), also referred to as the Internet of Everything (IoE).
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The Internet of Things (IoT) is a network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity that allow these objects to collect and exchange data.
Why IoT?
With the development of technologies like M2M (machine-to-machine communication) and widespread of Internet, communication over long distance became possible.
This useful exchange of information across the globe with minimal human intervention led to an innovative concept called Internet of Things (IoT) where objects represent themselves as a digitally forming large network of connected devices that can communicate over the internet.
Components comprising IoT
IoT Hardware – These include sensors, micro-controller devices for control, servers, an edge or gateway.
IoT software – It includes mobile and web applications that are responsible for data collection, device integration, real-time analysis and application and process extension.
IoT Lifecycle
Collect: The life cycle of IoT starts with collecting data from different sources deployed in a particular region. These sources could be any sensors or device capable of transmitting data connected to a gateway. Data are efficiently collected and passed forward through a communication channel for analysis.
Communicate: This phase involves secure and reliable transfer of data. Routers, switches and firewall technologies play a vital role in establishing communication between devices. The Data is sent to the cloud or other data centers using the internet which is our major means of communication in IoT.
Analysis: This phase is an important part of the IoT lifecycle. In this phase data collected from different sensor devices are collected and analysed based on the use case to extract some useful output/information.
Action: This is the final stage of IoT lifecycle. Information obtained by the analysis of sensor data is acted upon and proper actions and measures are taken based on the analysis result.
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3) IoT will have over 50 billion connected devices by 2020 and has applications in traffic monitoring, healthcare, security,
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This document provides an overview of an IoT-based smart irrigation system. It begins with introductions to IoT, explaining what IoT is, why it is useful, and how IoT works. It then describes the key components used in an IoT system, including devices, gateways, cloud infrastructure, analytics, and user interfaces. Specific hardware and software used in the proposed smart irrigation system are also outlined, including sensors, microcontrollers, and programming languages. The document concludes with thanks.
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This document discusses the Internet of Things (IoT) and provides an overview of key concepts. It begins with defining IoT as the network of physical devices connected through sensors and electronics to collect and exchange data. By 2020, it is expected that there will be almost 50 billion active IoT devices. The document then discusses enabling technologies for IoT like short-range wireless technologies (e.g. Bluetooth, NFC, RFID) and long-range wireless technologies (e.g. LPWAN, VSAT). It also outlines the basic components and working of IoT including sensors, gateways, cloud infrastructure, and mobile apps. Potential advantages like automation, monitoring, cost savings, and time savings are highlighted.
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More from Alex G. Lee, Ph.D. Esq. CLP
[Presentation] Webinar on Patent Management and Patent Asset STO in the ChatG...
[Presentation] Webinar on Patent Management and Patent Asset STO in the ChatG...Alex G. Lee, Ph.D. Esq. CLP
Intangible assets, which account for up to 90% of a company's value, especially patents, which make up the largest proportion of these assets, are hardly ever utilized for corporate value creation despite their value. In this presentation, I introduce patent management solutions for the development of patents that can contribute to corporate value creation, using the latest digital technologies such as AI, blockchain, and Web 3.0. I also introduce measures to maximize the financial use of patent assets secured through such patent management. In particular, I will look into the domestic and overseas trends of STO (Security Token Offering), which have recently been gaining attention in S. Korea, and learn about strategies and methods for patent asset STO.
Metaverse x AI x Web3 x Sustainability Convergence
The Metaverse x AI x Web3 x Sustainability convergence presents a future vision that transforms how we interact with the digital realm, combining the expansive, immersive qualities of the Metaverse, the advanced computational abilities of AI, the decentralized nature of Web3, and the global imperative of sustainability.
Metaverse and AI Integration: AI technologies shape the Metaverse to be an immersive, interactive, and deeply engaging digital universe. Tools like the Meta AI Builder Bot, Nvidia's GANverse3D/GET3D, and Magic3D create 3D environments and objects, contributing to the Metaverse's realism. Lifelike human avatars, AI-powered digital fashion design, and immersive shopping experiences further enrich user engagement. Additionally, the Metaverse can become a testing ground for AI innovation, enabling developers to leverage its vast data generation and system testing capabilities.
AI and Web3 Integration: AI fortifies the decentralized Web3 ecosystem, creating unique digital assets for Non-Fungible Tokens (NFTs) and potential markets within the Metaverse. Furthermore, AI's capability to automate DeFi processes paves the way for more efficient, accessible financial services in the decentralized digital economy.
Web3 and Metaverse Integration: Blockchain technologies, the backbone of Web3, could be woven into the fabric of the Metaverse, giving rise to novel, decentralized commerce systems. It can enable peer-to-peer transactions and build decentralized marketplaces, providing users with greater control over their economic interactions in the virtual realm.
Metaverse and Sustainability Integration: The Metaverse offers a virtual platform to drive sustainable initiatives, reducing real-world resource consumption. In the Metaverse, renewable energy systems could be simulated and managed, virtual stores could advocate for sustainable products, and virtual factories could optimize sustainable manufacturing processes and supply chains. Furthermore, it could serve as a prototyping platform for sustainable smart cities, providing an efficient way to plan, simulate, and refine before real-world implementation.
To conclude, the convergence of Metaverse, AI, Web3, and Sustainability initiates a transformative movement toward a digital ecosystem that's immersive, intelligent, decentralized, and sustainable. This synergy could redefine digital experiences, promote efficient and fair economic interactions, and support global sustainability goals, signifying a new dawn in our digital evolution.
Tokenization, Securitization, Monetization of Real-World Assets
Tokenization, securitization, and monetization of real-world assets refer to the process of converting traditional assets into digital assets that can be traded, managed, and invested in a new way. Tokenization involves the creation of a digital token that represents ownership or a proof of authenticity of a real-world asset. The token can be traded on blockchain-based platforms, providing a secure and transparent record of ownership and enabling the creation of new markets for these assets. Securitization refers to the process of pooling together a set of assets and creating new securities backed by the underlying assets. In the context of tokenization, securitization involves the creation of asset-backed tokens that represent ownership in a portfolio of assets. Monetization refers to the process of generating revenue from an asset. In the context of tokenization and securitization, monetization can involve selling tokens or securities, licensing assets, or generating income from the underlying assets.
This webinar is designed to explore the tokenization, securitization, and monetization of real-world assets that have the potential to revolutionize the way we trade, manage, and invest in real-world assets, and to create new markets and opportunities for investors and asset owners.
Agenda:
Asset‐Backed Tokens
Security Token Offering (STO)
Securitization of Real-World Assets
NFT & DeFi for Securitization and Monetization of Real-World Assets
Metaverse for Monetization of Real-World Assets
Case Studies: Real Estates, Securities, Intangible Assets
IP Asset Tokenization, Valuation, Monetization: IPwe SIAM Platform
Maximizing Innovation through ChatGPT Powered Patent Analysis
Patent information can be utilized in various ways depending on how it is understood. I have devised a method to extract useful insights for the development of new products or services from patents in specific technology fields by using the analysis and cognition capabilities of GPT-4 based ChatGPT. I have applied this to the fields of generative AI, metaverse, and Web3-based fintech.
For the case study, in the generative AI field, I examined Google's patent US10452978 "Attention-based sequence transduction neural networks" (this patent describes the transformer architecture, which is the basis of most large language models (LLMs) for generative AI); in the metaverse field, I looked at Meta's patent US11302063 "3D conversations in an artificial reality environment"; and in the Web3-based fintech field, I explored nChain's patent US10776761 "Virtual currency system."
I input into ChatGPT a guideline consisting of five key steps: identifying the main purpose of the patent invention, summarizing the technological innovations in the patent claims, describing potential products or services based on the technology, identifying the main industry participants, and evaluating competitive advantages. For more details, please refer to the attached file and evaluate the level of results at your discretion.
The outputs generated from the method described can provide valuable insights for various business applications:
Patent licensing promotion: By identifying the main purpose, technological innovations, and potential products or services related to a patent, businesses can better understand the value proposition of their intellectual property. This information can be used to showcase the benefits of the patented technology to potential licensees, making it more appealing for them to enter into licensing agreements. Thus, you can more effectively promote patent licensing.
Finding potential infringement: Summarizing the technological innovations in the patent claims helps businesses clearly understand the scope of their intellectual property protection. By comparing this information with competing products or services in the market, they can identify potential infringement cases and take appropriate legal actions to protect their intellectual property.
M&A target identification: Evaluating competitive advantages and identifying the main industry participants can help businesses spot potential acquisition targets. Companies with complementary technologies, strong market presence, or unique intellectual property could provide strategic opportunities for growth through mergers and acquisitions.
Product or service market fit: Describing potential products or services based on the patented technology can help businesses identify new opportunities for product development or market expansion. By understanding the potential applications and market demand for a particular technology, businesses can better tailor their offerings to meet customer needs.
Maximizing AI Business Value Creation Utilizing Patents
The document discusses various applications of artificial intelligence (AI) and how patents related to AI innovations can be utilized commercially and financially. It describes how AI is being used to create virtual environments, 3D objects and models, and human avatars. It then discusses how patents covering AI technologies are important assets that can be used strategically for competitive advantages, partnerships, investment and mergers & acquisitions. The document also introduces IPwe's Smart Intangible Asset Management platform, which uses AI to evaluate patent quality and value, tokenize patents as non-fungible tokens, create a marketplace for monetizing patents, and enable various financial applications of patented technologies like securitization and lending.
Real-World Assets STO + Institutional DeFi Integration
Real-World Assets STO + Institutional DeFi Integration
Institutional DeFi refers to tokenize real-world assets with regulatory compliance and institutional-level controls for consumer protection. One of the main benefits of Institutional DeFi is the potential to transform the traditional financial system by making it more transparent, efficient, and accessible while maintaining the necessary safeguards for investor protection and financial stability. This can lead to new products, cost reduction, and faster settlement times for financial institutions.
STO (Security Token Offering) of real-world assets involves the issuance of security tokens that represent ownership of a real-world asset, such as a share of stock, bond, or real estate property. The tokenization and securitization process is carried out by an issuer who follows the necessary regulatory requirements. These security tokens can be listed, distributed, and traded on Institutional DeFi applications to automate various processes such as trading, settlement, and custody. This allows for greater security, efficiency, transparency, and liquidity.
#defi #fundraising #sto #tokenization #nft #securitization #security
Metaverse x Web3 Interoperability Overview
Presentation of the Interoperable Metaverse x Web3 Development Webinar
Agenda:
Challenges in Building Interoperable Metaverse
3D Objects/Contents/Avatars/Assets Cross-Metaverse Interoperability
NFT Cross-Chain Interoperability
Interoperability in Metaverse Fashion
Metaverse Interoperability Standards
Speakers
Mikeldi Rodriguez, Metaverse Creative Technologist at Telefónica
"Avatar Interoperability Based On Metadata"
Leo Hilse, Founder at STYLE Protocol
"STYLE Protocol: NFT Inter-Metaverse Interoperability"
Alain Dessureaux, CTO at SpatialPort
"SpatialPort's Interoperable 3D eCommerce Platform"
AI for Metaverse x Web3 Overview
This webinar is designed to explore the state of the art AI innovation and business applications for the web3 based metaverse development.
Agenda:
AI for Building Metaverse World
AI for 3D Objects/Contents/Avatars Creation
AI for Metaverse Commerce
AI for Metaverse Fashion
AI for NFT
AI for DAO
IP Issues with AI Created Assets
NFT Web3 Metaverse Global Leaders Roundtable
[Reminder] NFT•Web3•Metaverse Global Leaders Roundtable
Thais is a reminder that the NFT•Web3•Metaverse Global Leaders Roundtable will begin in three days on December 1 (Thursday) 2022, 12 pm ET (https://www.linkedin.com/events/nft-web3-metaversegloballeaders6988852388136640513/about/).
This roundtable is a hybrid Zoom + Metaverse event. At the start of the event, all participants will join the Zoom for a scheduled speaker introduction and networking. Those who want to participate in the metaverse event will join after the Zoom event.
Schedule:
12:00 - 12:05 EST "Introduction" Alex G. Lee, CEO & Founder at TechIPm
Part I. Zoom Meeting
12:05 - 12:20 EST “Reviews of NFT•Web3•Metaverse Global Leaders Presentations” Alex G. Lee
12:20 - 13:00 EST Speaker Introduction & Recap”
Matteo Gamberale, Founder & CEO at Zappy
Jens Laugesen, Founder at JENS_LAUGESEN DESIGN ADVISORY & KONsensX
Ofer Rubin, 3D/XR Executive Advisor at RealeyeZ3D
Erich Spangenberg, CEO & Co-Founder at IPwe
Tapan Lala, Founder at ZcureZ
Husam Yaghi, Group VP at Mawarid Media & Communications Group
Alex Bellesia, CEO & Founder at Spatial Port
Nick Cherukuri, CEO & Founder at ThirdEy
Doug Hohulin, Affiliate Faculty at Kansas University School of Nursing
Ruben Sananes, CEO & Founder at IMRSIVE
Se-Joon Chung, CEO & Co-Founder at AForm
James Costa, Founder at Clubhouse Archives
Tom Wallace, Founder at CreatedBy DAO
Aditya Mani, Founder at YOLOgram app
Aline Conus-Moulin, Managing Partner at E-NOTAM Ltd.
Vandana Taxali, Founder & CEO at Artcryption
Alex Di Giovanni, Founding Lawyer at Pando Law
13:00 - 13:15 EST
“Guidance for the Metaverse Event Places " Alex G. Lee
Part II. Metaverse Meeting
At the Metaverse Campus’ Lecture Hall (https://www.challau.com/college/techipm)
13:15 - 13:30 EST "Present and Future of NFT•Web3•Metaverse" Presentation by Doug Hohulin,
At the Metaverse Networking Place (https://www.challau.com/town-square/alex-g--lee)
13:30 - 14:00 EST “Networking with Speakers”
Fame Universe Introduction
The document discusses the Hyper Connected Fashion Metaverse being developed by FAME UNIVERSE Co., Ltd. It aims to connect the physical and digital fashion worlds by digitizing physical fashion designs and garments for use as NFTs and wearables in virtual spaces. This will help address issues like counterfeiting and give creators new ways to showcase and monetize their work. FAME provides services like transforming physical designs into 3D digital assets and launching crowdfunding campaigns for physical production. Partnerships are in place to expand access to metaverses and marketplaces. The goal is a hybrid online/offline marketplace and ecosystem that nourishes both the physical and digital fashion universes.
Metaverse Fashion Overview
The fashion industry represents the estimated global revenues of $1.5T.
The global counterfeiting industry is expected to hit the $4.2T mark by 2022.
References
The fashion industry lost more than $50B in 2020 due to the sale of the counterfeit products:
Clothing appears to be the most counterfeited product followed by cosmetics and personal care, watches and jewelry, handbags and luggage.
The COVID-19 pandemic accelerates the digital transformation globally, and the fashion industry is no exception.
Citi expects the metaverse economy as large as $13T by 2030 and Gartner predicts that , and Gartner predicts that 25% of people will spend at least one hour a day
in the metaverse by 2026.
The creator economy has already exceeded a $100B market size. The NFT
market reaches $1.05T. The wearable NTF market is expected to be $11B in 2022.
Fashion industry lends well to the metaverse where the ecosystem includes metaverse fashion digitalization, metaverse fashion house/brand,
Ph i l f hi h d f hi k l il d h f hi k i d ygitalwear, metaverse fashion show and metaverse fashion marketplace/retail, and the metaverse fashion market is expected to increase
up to $55B by 2030.
As sustainability became the mainstream business the anti , the anti-sustainability and anti-circularity nature of the fashion business place
the sustainability as the top priority agenda in the fashion business practices.
Fashion digitalization and the metaverse fashion can be a potential solution for mitigating the anti-sustainability and anti-circularity nature
TechIPm, LLC
of the fashion business.
Gen Z and Gen Alpha become the future big spenders and sustainability advocates in fashion.
Global Metaverse Fashion Innovators Roadshow
Schedule
12:00 - 12:10 EST
"Introduction" Alex G. Lee, CEO & Founder at TechIPm
12:10 - 12:25 EST
“JENS LAUGESEN X META\SENS Digital Collaboration in London Fashion Week” Jens Laugesen, Founder at JENS_LAUGESEN DESIGN ADVISORY
12:25 - 12:40 EST
"Ecoolska: Phygital Sustainable Fashion Brand" Olska Green, Founder at Ecoolska
12:40 - 12:55 EST
"WEARSPACES: Dress like a game-changer in Metaverse & IRL" Julien Chmilewsky, Co-Founder at WEARSPACES
12:55 - 13:10 EST
"Innovation in Fashion Brands Metaverse Shopping Experiences" Ruben Sananes, CEO & Founder at IMRSIVE
13:10 - 13:25 EST
"NEOMODEST: Inclusive, Accessible, Decentralized Metaverse Fashion" Afroja K, Founder at NEOMODEST
13:25 - 13:40 EST
"XTENDED iDENTiTY: The Experiential Digital Fashion Lab" Xing Yunjia, Co-Founder at XTENDED iDENTiTY
13:40 - 13:55 EST
“GAD (Garment Automated Digitisation)” Pietro Dalpane, CEO & Co-Founder at DeepGears
13:55 - 14:10 EST
"Fostering Interoperable Digital Fashion Through Graphics Technology" Se-Joon Chung, CEO & Co-Founder at AForm
14:10 - 14:25 EST Coffee Break
14:25 - 14:40 EST
“3D Garment Creation to Simulation - Connecting Digital Fashion with Digital Human” Kenneth Ryu, CSO at z-emotion
14:40 - 14:55 EST
"A Luxury Fashion Brand & Web3 Marketplace" James Costa, Founder at Clubhouse Archives
14:55 - 15:10 EST
"Marketing Digital Fashion with Avatar Generated Content" Diego Rios, Founder at Animalz
15:10 - 15:25 EST
"CreatedBy DAO: A Phygital NFT Ecosystem" Tom Wallace, Founder at CreatedBy DAO
15:25 - 15:40 EST
"MaisonDAO: Decentralized Digital Fashion Brand and ArtTech Collective" Elena Nazaroff, Co-Founder at MaisonDAO
15:40 - 16:05 EST
"Browzwear Innovative 3D Digital Fashion Solution" Afsha Iragorri, 3D Fashion Designer at 3D Fashion Solutions
16:05 - 16:20 EST
“Innovative 3D Digital Fashion Design” Olesya Pupchenko, Director at Global Rise Group
Agenda
Metaverse Fashion Design
Interoperable Metaverse Fashion
NFTs for Metaverse Fashion
Web3 for Metaverse Fashion
Metaverse Fashion Commerce
NFT Financialization Overview
NFT financialization refers to bringing NFTs closer to financial use, mostly, by making NFT useful in DeFi protocols. NFT financialization is the most important element of NFT monetization innovation to overcome the low liquidity and high price volatility of almost all NFTs currently.
NFT Fractionalization splits a NFT into smaller fungible tokens that represent partial ownership of the NFT. The NFT is locked in a smart contract and the ownership remains with the original holder. Fractionalization can unlock liquidity for NFT owners and cheapens access to valuable NFTs, and improves the NFT market spectrum. An issue with fractionalization is a reconstitution after ractionalization. Buyout auctions alleviate the reconstitution problem to some extent.
*NFT fractionalization protocols: NFTX (https://nftx.io/), Fractional (https://fractional.art/), NFT20 (https://nft20.io/), Unic.ly (https://www.unic.ly/), Szns (https://www.szns.io/)
NFT Lending uses NFT as collateral for loans. In peer-to-peer lending, borrowers and lenders manually negotiate and come to an agreement for loan terms such as duration, interest rates and loan-to-value ratios in a peer-to-peer fashion. This lending enables a customizable loan terms without a need to rely on price oracles. Because the matching process is manual time-to-liquidity may be slow. In peer-to-pool lending, liquidity providers fungible tokens into pools and borrowers take up loans from these pools instantaneously. Borrowers should put up their NFTs as collateral by locking them in smart contracts (digital vaults). This lending, however, must rely on price oracles to automate loan terms.
*Peer-to-peer NFT lending protocols: NFTfi(https://www.nftfi.com/), Arcad (https://www.arcade.xyz/), MetaStreet (https://metastreet.xyz/)
*Peer-to-pool NFT lending protocols: Bridgesplit (https://www.bridgesplit.com/), BendDAO (https://www.benddao.xyz/en/, PINE (https://pine.loans/), JPEG’d (https://jpegd.io/)
NFT Rental market is where NFT owners can rent out their NFTs to receive income and renters can rent NFTs to use but without owning them. In collateral renting, renter has to put up collateral to rent the NFT to use (e.g., reNFT (https://www.renft.io/). Collateral-free renting separates ownership and utility of an NFT (e.g., IQ Protocol (https://iq.space/#top).
NFT Price Discovery uses AMMs (Automated Market Makers)/bonding curves for an automatic price discovery in DeFi exchange liquidity pools (e.g., Uniswap and Sushiswap).
*NFT Price Discovery protocols: Sudoswap (https://sudoswap.xyz/#/), Pilgrim (https://pilgrim.money/), Rootswap (https://rootswap.xyz/)
Metaverse & Web3 Technology Innovation & Business Development
I. Metaverse Digital Revolution Metaverse Revolution Imperatives Metaverse Present and Future Infographics Metaverse Industry Applications II. Metaverse Technology Innovation Why Metaverse Now? Meta Metaverse XR Device Prototypes Apple Metaverse XR Device Insights from Patents Roblox Metaverse Game Platform Innovation Insights from Patents Digital Twin Innovation Insights from Patents Metaverse Patents Development Boom 3D Metaverse Space Development: 3D Rendering 3D Metaverse Space Development: 2D to 3D Translation 3D Metaverse Object Development: 2D to 3D Conversion Interactive Experience Design: Multi-Sensory Perception Virtual Product Development: NFT Digital Assets Meatavere Application Development: Retail Shopping Meatavere Application Development: Automotive Showroom Meatavere Application Development: Tour Meatavere Application Development: Meeting Meatavere Application Development: Smart Factory Metaverse Enterprise Platform Metaverse Enterprise Platform System Components
III. Metaverse Business Development: Metaverse BM & Investment Experience Economy Metaverse User Experiences (MUXs) Metaverse BM Innovation for New Experience Economy Metaverse Angel/VC Investors IV. Metaverse Economic System NFT Functions and Legal Status NFT + DeFi Convergence Metaverse Economic System Components Metaverse Economic System Architecture V. Metaverse + ESG Convergence ESG/Sustainability Imperative Metaverse Renewable Energy System Management Metaverse Factory for Sustainable Manufacturing/Supply Chain Metaverse for Sustainable Smart City Development Metaverse NFT/DeFi Based Sustainable Financing Designing Sustainable Metaverse Experiences (SMXs) Metaverse Impact on Environment Metaverse Impact on People/Society
NFT Monetization Innovation Webinar
This webinar is designed to explore the innovative NFT monetization through the convergence of NFT securitization and DeFi.
Agenda
Reviews of NFT Monetization
NFT Valuation
NFT IP Licensing
NFT + DeFi Convergence: MetaFi, GameFi, DAOFi, ...
NFT Securitization Development
Legal Challenges of NFT Securitization
NFT Securitization Use Cases
NFT Securitization + DeFi Convergence
Schedule:
12:00 – 12:15 ET, Alex G. Lee
"Introduction & Overview"
12:15 – 12:30 ET, Ted Kim
"XBRIK: NFT Securitization & Brick Exchange & IBO DeFi Platform"
12:30 – 12:45 ET, Aditya Mani
"In-app monetization of NFTs for Style"
12:45 – 13:00 ET, Aline Conus-Moulin
"NFT Valuation: Challenges & Solutions"
13:00 – 13:15 ET, Yael Tamar
"NFTs in Real Estate"
13:15 – 13:30 ET, Vandana Taxali
"NFT IP Rights Licensing: Deep Dive"
13:30 – 13:45 ET, Joshua Hale
"NFTDAOs not spelled S A F E: Why the most interesting things you can do in crypto can land you in hot water!"
13:45 – 14:00 ET, Alex G. Lee
(Optional) Q&A/Discussion
웹3.0기반 메타버스 응용을 위한 NFT 가치개발과 가치평가 특강
The document discusses an upcoming seminar on using NFTs to generate revenue through metaverse and web3 applications. The seminar will have a basic session covering the fundamentals of metaverse, web3 and NFTs, and an advanced session covering key aspects of NFT valuation and monetization strategies. It also lists some reference materials on NFTs, metaverse and web3.
NFT for Web3 Based Metaverse Monetization Webinar.pdf
This webinar is designed to explore the current status of the NFT ecosystem and monetization potentials exploiting the web3 based metaverse. If you are a tech-savvy IP legal professional, you will be interested in legal challenges and opportunities with the NFT/Web3/Metaverse/Cryptocurrency.
Please join on September 22 (Thu) at 12:00 ET to learn from legal experts in NFT, Web3, Metaverse, Tokenization, Intellectual Property:
"NFT IP Rights: Monetization Opportunities & Legal Challenges" from Vandana Taxali, Founder & CEO at Artcryption
"Legal Challenges of Web3 Gaming Studios and Platforms" from Andrew Cripps, Founder at MetaCounsel
Agenda:
Utility NFT for Metaverse Monetization
NFT for Customer Loyalty Program 3.0
NFT for X2E (Play-to-Earn, Wear-to-Earn, ...)
NFT Interoperability
NFT Valuation
NFT for Web2/Legacy to Web3/Metaverse Business Transition
NFT for Creator/Experience Tokenomics
NFT based Monetization for Metaverse Fashion & Other Industries
NFT for Monetizing IP Portfolio Development (NFT IP Securitization)
NFT IP Rights Legal Issues
NFT + DeFi Convergence: MetaFi, GameFi, DAOFi, ...
NFT for Physical + Virtual Convergence Economy/Commerce
Future of NFT: Composable NFT, Dynamic NFT, Consumable NFT, ...
Other speakers/topics:
"The Future of NFT" from Mohamed Hafiz, Advisor at First Abu Dhabi Bank
"NFT based Monetization for Metaverse Fashion & Other Industries" from Nova Lorraine, Director at Raine Drops NFT Art House
"Phygital Fashion with NFTs" from Fahmid Uddin, Founder at M3RCH.xyz
"Interoperable NFTs for GenZ: Gaming and Fashion" from Matteo Gamberale, Founder & CEO at Zappy
"NFT for Web2/Legacy to Web3/Metaverse Business Transition" from Gianfranco Lopane, President at Smarterverse
"Your Digital DNA & NFT: Monetization of Digital Identity in the Metaverse" from Kelvin Troy, CEO at Cross-Metaverse Avatars LLC
FAME UNIVERSE Fashion NFT Monetization Platform Introduction
Fame Universe (https://fameuniverse.xyz/) is a platform builder that hyper connecting fashion “From Physical to Digital And From Digital to Physical.” Fame’s mission is to lead the “Sustainable Metaverse Fashion Ecosystem” that nourishes existing physical and digital fashion universes where we can build, create, enjoy, play, earn and shop in a sustainable way.
Fame Platform
Patent pending Fame platform is a sustainable metaverse fashion ecosystem building platform that provides a play ground where the ecosystem players and stakeholders can co-create a sustainable metaverse fashion ecosystem. Fame platform provides the interfaces for the ecosystem players and stakeholders can cooperate synergetically to build sustainable metaverse fashion ecosystem more efficiently and effectively. Fame platform provides/integrates the tools/solutions/knowledge/expertise for supporting a sustainable metaverse fashion ecosystem development.
Fame Fashion NFT Monetization Platform
Patent pending Fame fashion NFT monetization platform (FameFiTM) is a core element of the fame platform.
FameFiTM is designed to provide most innovative fashion monetization solution that can maximize opportunities and resolve many challenges in fashion NFT monetization.
FameFiTM is designed to employ various innovative monetization methods including fashion IP NFT licensing, securitization and NFTFi for maximizing monetary rewards to the Fame ecosystem/community members and for enabling financially sustainable Fame metaverse fashion ecosystem development.
FameFiTM is designed to resolve many legal issues in fashion NFT monetization and overcome several huddles in the fashion NFT valuation.
FameFiTM is designed to innovate the fashion NFT value creation through NFT scarcity, utility and sustainable tokenomics development.
NAVIGATING THE METAVERSE (Wiley) One Page Book Summary
C: The metaverse is designed to give like-minded communities of common interests digital sandboxes to play, earn, own, and socialize.
U: The decentralized economy is user controlled, not centrally governed.
T: The metaverse experience is possible through Web 3.0 technology, such as blockchain, 5G networks, VR, AR, and cloud computing.
E: Experiences and interactions give NFTs greater utility, which drives greater value.
R: A connection to the real world gives the metaverse value beyond entertainment as it augments real-world experiences and offers the potential for real financial gains as well.
FAME Universe Introduction
Fame Universe (https://fameuniverse.xyz/)
Fame is a platform builder that hyper connecting fashion “From Physical to Digital And From Digital to Physical.”
Fame’s mission is to lead the “Sustainable Metaverse Fashion Ecosystem” that nourishes existing physical and digital fashion universes where we can build, create, enjoy, play, earn and shop in a sustainable way.
Fame Platform
Fame platform is a sustainable metaverse fashion ecosystem building platform that provides a play ground where the ecosystem players and stakeholders can co-create a sustainable metaverse fashion ecosystem.
Fame platform provides the interfaces for the ecosystem players and stakeholders can cooperate synergetically to build sustainable metaverse fashion ecosystem more efficiently and effectively.
Fame platform provides/integrates the tools/solutions/knowledge/expertise for supporting a sustainable metaverse fashion ecosystem development.
Fame Platform Design
Fame platform is designed to provide a simple way of embracing digital/web3 fashion business for legacy/web2 fashion business.
Fame platform is designed to provide a community building solution that the ecosystem players and stakeholders can participate with self-sovereignty and consensus.
Fame platform is designed to employ various innovative monetization methods for increasing market scalability.
Fame platform is designed to be modular considering current technology limitations and emerging technology expectations.
Fame platform is designed to resolve fashion’s inherent sustainability/circularity issues.
More from Alex G. Lee, Ph.D. Esq. CLP (20)
[Presentation] Webinar on Patent Management and Patent Asset STO in the ChatG...
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Metaverse x AI x Web3 x Sustainability Convergence
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Tokenization, Securitization, Monetization of Real-World Assets
Tokenization, Securitization, Monetization of Real-World Assets
Maximizing Innovation through ChatGPT Powered Patent Analysis
Maximizing Innovation through ChatGPT Powered Patent Analysis
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Real-World Assets STO + Institutional DeFi Integration
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Metaverse & Web3 Technology Innovation & Business Development
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NFT for Web3 Based Metaverse Monetization Webinar.pdf
NFT for Web3 Based Metaverse Monetization Webinar.pdf
FAME UNIVERSE Fashion NFT Monetization Platform Introduction
FAME UNIVERSE Fashion NFT Monetization Platform Introduction
NAVIGATING THE METAVERSE (Wiley) One Page Book Summary
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
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IoT Innovation Insights from Patents
- 1. ©2015 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 1 IoT Innovation Insights from Patents Patents can provide insights regarding the state of the art of IoT (Internet of Things) innovation. To evaluate the current status of IoT innovation, patents regarding the key IoT applications (Smart Home, Connected Car and Smart Healthcare) are researched. To measure the level of IoT innovation, a system approach to the IoT patents is adopted. The disclosures of the IoT patent can be considered as a system that is consist of several subsystems: environmental context, IoT sensor, information, transfer mean and processing tool. 1. Environmental context is the context of the surrounding object(s) sensed by the IoT sensor. Some examples are water, electricity, lighting, room temperature, a person’s or vehicle’s location or movement, traffic congestion and a person’s heart rate and blood pressure. 2. IoT sensor is a stand-alone or embedded device that can sense/recognize its surrounding environments (including position/movement/identification) with networking capability. Some examples are RFID imbedded items, sensor embedded home appliances, wearable healthcare devices and vehicle control system. 3. Information is the context data obtained by the IoT sensor for specific purpose. For example, the context room temperature is measure to obtain the data for automatic room temperature control.
- 2. ©2015 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 2 4. Transfer mean is the networking/communicating medium/infrastructure that can interconnect sensing devices and connect sensing devices to the internet. Some examples are 3G/4G/5G mobile networks, wireless connectivity (WiFi, Bluetooth, Zigbee, NFC etc.), internet/telephone connectivity and vehicle-to-vehicle (V2V) and vehicle-to- infrastructure (V2I) connectivity. 5. Processing tool is the back-end or embedded IT systems/processors that can process the context information (e.g. cloud computing/big data analytics) and provide the value propositions exploiting the information. Some examples of the IoT value propositions are: • Automation: Providing various automation services for the customers’ job to be done (e.g. order the out of stock product automatically; mobile payment; self driving car) • Care: Caring for customers (e.g. monitor customers’ body status and provide various health care services; control customer’s home cooling and heating/lighting system for energy savings) • Business Intelligence: Providing better working tools/environments (e.g. analyze customers’ shopping behavior for proactive promotion/advertisement) • Entertainment: Providing fun to customers (e.g. virtual reality games)
- 3. ©2015 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 3 The IoT patent system can include the system integration subsystem that integrate and manage the functionality of each subsystem as a whole. Following figure illustrates the IoT Patent system.
- 4. ©2015 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 4 Each researched IoT patents’ disclosures are divided into the IoT patent subsystems, and then, measured the current level of IoT innovation for each subsystem. The results are summarized in the following table. In the table, the level of IoT innovation for each subsystem is measured as early, developing, and matured stage except the system integration subsystem. The level of IoT innovation for the system integration subsystem is measured as low, moderate and high integration stage. Subsystem/Applications Context IoT Sensor Transfer mean Processing tool Integration Smart Home developing developing developing developing low Connected Car early developing early early low Smart Healthcare developing developing developing early low The level of IoT innovation shows that Smart Home is close to the infraction point for the mass market deployment once the system integration reaches the moderate integration level. Smart Healthcare is also near the infraction point. Connected Car, however, seems to be in the early stage of the IoT innovation. Based on the IoT innovation analysis, future IoT innovation and patent portfolios development strategy can be developed by exploiting the system approach to the IoT patents, system evolution principal (e.g. TRIZ) and scenario planning methodology.
- 5. ©2015 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 5